doddle-model

In-memory machine learning library built on top of Breeze with scikit-learn-like API.

DecliningOpen SourceLow lock-in

Pricing

Free tier

Flat rate

Adoption

Cooling

License

Open Source

Data freshness

Aging · Jun 8, 2026

Overview

What is doddle-model?

doddle-model is an in-memory machine learning library that provides immutable objects and exposes its functionality through a scikit-learn-like API, making it easy for developers familiar with Python's scikit-learn to transition to Scala-based ML projects.

Key differentiator

doddle-model stands out by offering an in-memory machine learning experience with immutable objects and a scikit-learn-like API, making it ideal for Scala developers familiar with Python's ML ecosystem.

Capability profile

Capability Radar

Ease of StartEcosystemValueMaturityFlexibilityScale Ready

Honest assessment

Strengths & Weaknesses

↑ Strengths

In-memory machine learning library built on top of Breezemedium

Immutable objects for better functional programming practicesmedium

Scikit-learn-like API for ease of use and familiaritymedium

↓ Weaknesses

Steep learning curve for non-Scala developershigh

The library is built in Scala, which may be unfamiliar to many data scientists and machine learning practitioners who are more accustomed to Python.

Limited community support and documentationhigh

As an open-source project with a smaller user base compared to popular Python libraries like scikit-learn, doddle-model may have less comprehensive documentation and fewer community resources available for troubleshooting.

Performance limitations due to in-memory processingmedium

In-memory processing can be a bottleneck when dealing with large datasets that do not fit into RAM, limiting the scalability of doddle-model for big data applications.

Frequent breaking changes between versionshigh

The library has undergone significant API changes in recent updates, which can lead to maintenance overhead and instability when upgrading versions.

Fit analysis

Who is it for?

✓ Best for

Scala teams looking for an easy-to-use, scikit-learn-like API for machine learning tasks

Developers who prefer working with immutable objects and want to leverage Breeze's capabilities in their ML projects

✕ Not a fit for

Projects requiring real-time streaming data processing (doddle-model is designed for batch processing)

Teams that require a cloud-based solution or managed service, as doddle-model is local and library-based

Cost structure

Pricing

Free Tier

Available

Open source — free to use

Starts at

$0

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Next step

Get Started with doddle-model

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →